On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation
Fuente:
arXiv
Saved in:
| Main Authors: | Alhaidari, Abdulrahman, Palanisamy, Balaji, Krishnamurthy, Prashant |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Protecting DeFi Platforms against Non-Price Flash Loan Attacks
by: Alhaidari, Abdulrahman, et al.
Published: (2025)
by: Alhaidari, Abdulrahman, et al.
Published: (2025)
T-Watch: Towards Timed Execution of Private Transaction in Blockchains
by: Li, Chao, et al.
Published: (2024)
by: Li, Chao, et al.
Published: (2024)
Noiseless Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems
by: Turazza, Fabio, et al.
Published: (2026)
by: Turazza, Fabio, et al.
Published: (2026)
Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise
by: Rodio, Angelo, et al.
Published: (2025)
by: Rodio, Angelo, et al.
Published: (2025)
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks
by: Xu, Yichang, et al.
Published: (2024)
by: Xu, Yichang, et al.
Published: (2024)
D2M: A Decentralized, Privacy-Preserving, Incentive-Compatible Data Marketplace for Collaborative Learning
by: Srivastava, Yash, et al.
Published: (2025)
by: Srivastava, Yash, et al.
Published: (2025)
FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol
by: Nikolakakis, Konstantinos E., et al.
Published: (2024)
by: Nikolakakis, Konstantinos E., et al.
Published: (2024)
Byzantine-Robust Decentralized Federated Learning
by: Fang, Minghong, et al.
Published: (2024)
by: Fang, Minghong, et al.
Published: (2024)
Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data
by: Feng, Chao, et al.
Published: (2024)
by: Feng, Chao, et al.
Published: (2024)
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems
by: Bouzinis, Pavlos S., et al.
Published: (2024)
by: Bouzinis, Pavlos S., et al.
Published: (2024)
AIArena: A Blockchain-Based Decentralized AI Training Platform
by: Wang, Zhipeng, et al.
Published: (2024)
by: Wang, Zhipeng, et al.
Published: (2024)
A Review on Building Blocks of Decentralized Artificial Intelligence
by: Kersic, Vid, et al.
Published: (2024)
by: Kersic, Vid, et al.
Published: (2024)
Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
by: Agha, Bochra Al, et al.
Published: (2025)
by: Agha, Bochra Al, et al.
Published: (2025)
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
by: Gan, Xiaoyun, et al.
Published: (2024)
by: Gan, Xiaoyun, et al.
Published: (2024)
FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning
by: Liu, Sheng, et al.
Published: (2026)
by: Liu, Sheng, et al.
Published: (2026)
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
by: Dao, Thinh, et al.
Published: (2025)
by: Dao, Thinh, et al.
Published: (2025)
FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
A Blockchain-based Traceability System for AI-Driven Engine Blade Inspection
by: Hafez, Mahmoud, et al.
Published: (2026)
by: Hafez, Mahmoud, et al.
Published: (2026)
Centralized vs. Decentralized Security for Space AI Systems? A New Look
by: Schmitt, Noam, et al.
Published: (2025)
by: Schmitt, Noam, et al.
Published: (2025)
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
by: Husnoo, Muhammad Akbar, et al.
Published: (2024)
by: Husnoo, Muhammad Akbar, et al.
Published: (2024)
Federated Unlearning with Gradient Descent and Conflict Mitigation
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning (full version)
by: Ebron, Sheldon C., et al.
Published: (2023)
by: Ebron, Sheldon C., et al.
Published: (2023)
SecureSplit: Mitigating Backdoor Attacks in Split Learning
by: Dou, Zhihao, et al.
Published: (2026)
by: Dou, Zhihao, et al.
Published: (2026)
DDoS Attacks in Cloud Computing: Detection and Prevention
by: Ahmad, Zain, et al.
Published: (2025)
by: Ahmad, Zain, et al.
Published: (2025)
Vocabulary Attack to Hijack Large Language Model Applications
by: Levi, Patrick, et al.
Published: (2024)
by: Levi, Patrick, et al.
Published: (2024)
AdChain: Decentralized Header Bidding
by: Nassirzadeh, Behkish, et al.
Published: (2024)
by: Nassirzadeh, Behkish, et al.
Published: (2024)
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities
by: Khowaja, Sunder Ali, et al.
Published: (2024)
by: Khowaja, Sunder Ali, et al.
Published: (2024)
Automatic Adjustment of HPA Parameters and Attack Prevention in Kubernetes Using Random Forests
by: Zhou, Hanlin, et al.
Published: (2026)
by: Zhou, Hanlin, et al.
Published: (2026)
IslandRun: Privacy-Aware Multi-Objective Orchestration for Distributed AI Inference
by: Malepati, Bala Siva Sai Akhil
Published: (2025)
by: Malepati, Bala Siva Sai Akhil
Published: (2025)
InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference
by: Deng, Ruijun, et al.
Published: (2025)
by: Deng, Ruijun, et al.
Published: (2025)
AI-Based Crypto Tokens: The Illusion of Decentralized AI?
by: Mafrur, Rischan
Published: (2025)
by: Mafrur, Rischan
Published: (2025)
On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks
by: Hairi, et al.
Published: (2024)
by: Hairi, et al.
Published: (2024)
AEGIS: Scaling Long-Sequence Homomorphic Encrypted Transformer Inference via Hybrid Parallelism on Multi-GPU Systems
by: Gong, Zhaoting, et al.
Published: (2026)
by: Gong, Zhaoting, et al.
Published: (2026)
Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning
by: Mo, Wenjin, et al.
Published: (2025)
by: Mo, Wenjin, et al.
Published: (2025)
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
by: Ozfatura, Kerem, et al.
Published: (2022)
by: Ozfatura, Kerem, et al.
Published: (2022)
A Survey on Decentralized Federated Learning
by: Gabrielli, Edoardo, et al.
Published: (2023)
by: Gabrielli, Edoardo, et al.
Published: (2023)
RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
by: Penalva, Isaac Marroqui, et al.
Published: (2025)
by: Penalva, Isaac Marroqui, et al.
Published: (2025)
Protecting Split Learning by Potential Energy Loss
by: Zheng, Fei, et al.
Published: (2022)
by: Zheng, Fei, et al.
Published: (2022)
Similar Items
-
Protecting DeFi Platforms against Non-Price Flash Loan Attacks
by: Alhaidari, Abdulrahman, et al.
Published: (2025) -
T-Watch: Towards Timed Execution of Private Transaction in Blockchains
by: Li, Chao, et al.
Published: (2024) -
Noiseless Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024) -
FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems
by: Turazza, Fabio, et al.
Published: (2026) -
Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise
by: Rodio, Angelo, et al.
Published: (2025)